Re: [Help-gsl] linear least squares fitting for complex data set

[Apurv Bhartia]

"In principle you could order a real matrix and coeff and rhs vectors as:
real imag real imag, etc."

Sorry I'm new to GSL. In my dataset, X is real and Y, A are complex. Just
to make sure, do you mean that it can be done by having X, Y and A as
complex data sets, and packing them into a real vector by alternating real
and imaginary values?
This way, is it then possible to use gsl_multifit_linear(x, y, a, cov,
chisq, ws)?

Thanks,
Apurv

On Tue, Aug 7, 2012 at 4:56 PM, Patrick Alken <address@hidden>wrote:

> There aren't any native complex implementations of the multifit routines.
> In principle you could order a real matrix and coeff and rhs vectors as:
> real imag real imag, etc. But its probably easiest to use the complex
> LAPACK routines for this.
>
>
> On 08/07/2012 03:29 PM, Apurv Bhartia wrote:
>
>> Hi,
>>
>> Is there a way to use least squares fit for complex data sets? All of the
>> *_multifit_* variants seem to require non-complex data. If not, then any
>> advice on how I can somehow get this done?
>>
>> Thanks,
>> Apurv
>>
>
>
>